[1] Economic Sciences Prize Committee of the Royal Swedish Academy of Sciences. Answering Causal Questions Using Observational Data[EB/OL]. https://www.nobelprize.org/uploads/2021/10/advanced-economicsciences2021.pdf,2021 [2] Ashenfelter O., Card D. Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs[J]. The Review of Economics and Statistics, 1985,67(4):648-660 [3] Card D., Chetty R., Weber A. Cash-on-hand and Competing Models of Intertemporal Behavior:New Evidence from the Labor Market[J]. Quarterly Journal of Economics, 2007,122(4):1511-1560 [4] Card D. The Effect of Unions on the Structure of Wages:A Longitudinal Analysis[J]. Econometrica, 1996,64(4):957-979 [5] Stigler G. The Economics of Minimum Wage Legislation[J]. American Economic Review, 1946,36(3):358-365 [6] Brown C., Gilroy C., Kohen A. The Effect of the Minimum Wage on Employment and Unemployment[J]. Journal of Economic Literature, 1982,20(2):487-528 [7] Neyman J. On the Application of Probability Theory to Agricultural Experiments, Essays on Principles, Section 9[J]. Statistical Science, 1923,5(4):465-480 [8] Card D., Krueger A. Minimum Wages and Employment:A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania[J]. American Economic Review, 1994,84(4):772-793 [9] Card D., Krueger A. Myth and Measurement:The New Economics of the Minimum Wage[R]. Princeton University Press, Princeton, 1995 [10] Card D. The Impact of the Mariel Boatlift on the Miami Labor Market[J]. ILR Review, 1990,43(2):245-257 [11] Altonji J., Card D. The Effects of Immigration on the Labor Market Outcomes of Less-skilled Natives[A]. In Abowd J., Freeman R. B.(eds.) Immigration, Trade, and the Labor Market[C]. University of Chicago Press, 1991 [12] Card D. Immigrant Inflows, Native Outflows, and the Local Labor Market Impacts of Higher Immigration[J]. Journal of Labor Economics, 2001,19(1):22-64 [13] Bartel A. Where do the New U.S. Immigrants Live?[J]. Journal of Labor Economics, 1989,7(4):371-391 [14] Coleman J. Equality of Educational Opportunity[R]. Washington:Government Printing Office, 1966 [15] Hanushek E. The Economics of Schooling:Production and Efficiency in Public Schools[J]. Journal of Economic Literature, 1986,24(3):1141-1177 [16] Hanushek E. The Failure of Input-based Schooling Policies[J]. The Economic Journal, 2003,113(485):64-98 [17] Card D., Krueger A. School Quality and Black-White Relative Earnings:A Direct Assessment[J]. The Quarterly Journal of Economics, 1992,107(1):151-200 [18] Card D., Krueger A. Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States[J]. Journal of Political Economy, 1992,100(1):1-40 [19] Imbens G. W., Wooldridge J. M. Recent Developments in the Econometrics of Program Evaluation[J]. Journal of Economic Literature, 2009,47(1):5-86 [20] Imbens G. W., Rubin D. B. Causal Inference in Statistics, Social, and Biomedical Sciences[M]. Cambridge:Cambridge University Press, 2015 [21] Angrist J. D. Treatment Effect Heterogeneity in Theory and Practice[J]. The Economic Journal, 2004,114(494):52-83 [22] Xie Y., Brand J. E., Jann B. Estimating Heterogeneous Treatment Effects with Observational Data[J]. Sociological Methodology, 2012,42(1):314-347 [23] Imbens G. W. Instrumental Variables:An Econometrician's Perspective[J]. Statistical Science, 2014,29(3):323-358 [24] Hernán M. A., Robins J. M. Per-Protocol Analyses of Pragmatic Trials[J]. New England Journal of Medicine, 2017,377(14):1391-1398 [25] Chamberlain G. Asymptotic Efficiency in Semi-parametric Models with Censoring[J]. Journal of Econometrics, 1986,32(2):189-218 [26] Manski C. F. Nonparametric Bounds on Treatment Effects[J]. The American Economic Review, 1990,80(2):319-323 [27] Heckman J. Varieties of Selection Bias[J]. The American Economic Review, 1990,80(2):313-318 [28] Angrist J. D. Lifetime Earnings and the Vietnam Era Draft Lottery:Evidence from Social Security Administrative Records[J]. The American Economic Review, 1990,80(3):313-336 [29] Angrist J. D., Keueger A. B. Does Compulsory School Attendance Affect Schooling and Earnings?[J]. The Quarterly Journal of Economics, 1991,106(4):979-1014 [30] Angrist J. D., Evans W. N. Children and Their Parents' Labor Supply:Evidence from Exogenous Variation in Family Size[J]. The American Economic Review, 1998,88(3):450-477 [31] Atanasov V., Black B. The Trouble with Instruments:The Need for Pretreatment Balance in Shock-Based Instrumental Variable Designs[J]. Management Science, 2021,67(2):1270-1302 [32] Imbens G. W., Angrist J. D. Identification and Estimation of Local Average Treatment Effects[J]. Econometrica, 1994,62(2):467-475 [33] Angrist J. D., Imbens G. W. Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity[J]. Journal of the American Statistical Association, 1995,90(430):431-442 [34] Angrist J. D., Imbens G. W. Rubin D. B. Identification of Causal Effects Using Instrumental Variables[J]. Journal of the American Statistical Association, 1996,91(434):444-455 [35] Wright P. G. Tariff on Animal and Vegetable Oils[M]. New York:Macmillan Company, 1928 [36] Haavelmo T. The Statistical Implications of a System of Simultaneous Equations[J]. Econometrica, 1943,11(1):1-12 [37] Rubin D. B. Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies[J]. Journal of Educational Psychology, 1974,66(5):688 [38] Rosenbaum P. R. Rubin D. B. The Central Role of the Propensity Score in Observational Studies for Causal Effects[J]. Biometrika, 1983,70(1):41-55 [39] Hahn J., Todd P., Van der Klaauw W. Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design[J]. Econometrica, 2001,69(1):201-209 [40] Imbens G. W. Lemieux T. Regression Discontinuity Designs:A Guide to Practice[J]. Journal of Econometrics, 2008,142(2):615-635 [41] Cattaneo M. D., Idrobo N., Titiunik R. A Practical Introduction to Regression Discontinuity Designs:Foundations[M]. Cambridge:Cambridge University Press, 2020 [42] Abadie A. Gardeazabal J. The Economic Costs of Conflict:A Case Study of the Basque Country[J]. American Economic Review, 2003,93(1):113-132 [43] Abadie A., Diamond A., Hainmueller J. Synthetic Control Methods for Comparative Case Studies:Estimating the Effect of California's Tobacco Control Program[J]. Journal of the American Statistical Association, 2010,105(490):493-505 [44] Abadie A., Diamond A., Hainmueller J. Comparative Politics and the Synthetic Control Method[J]. American Journal of Political Science, 2015,59(2):495-510 [45] Deaton A. S. Instruments of Development:Randomization in the Tropics, and the Search for the Elusive Keys to Economic Development[R]. National Bureau of Economic Research Working Paper Series No. 14690, 2009 [46] Heckman J. J., Urzúa S. Comparing IV with Structural Models:What Simple IV can and cannot Identify[J]. Journal of Econometrics, 2010,156(1):27-37 [47] Imbens G. W. Better LATE than Nothing:Some Comments on Deaton (2009) and Heckman and Urzua (2009)[J]. Journal of Economic Literature, 2010,48(2):399-423 [48] LaLonde R. J. Evaluating the Econometric Evaluations of Training Programs with Experimental Data[J]. The American Economic Review, 1986,76(4):604-620 [49] Hahn J. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects[J]. Econometrica, 1998,66(2):315-331 [50] Hirano K., Imbens G. W., Ridder G. Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score[J]. Econometrica, 2003,71(4):1161-1189 [51] Crump R. K., Hotz V. J., Imbens G. W., et al. Dealing with Limited Overlap in Estimation of Average Treatment Effects[J]. Biometrika, 2009,96(1):187-199 [52] Imbens G. W. The Role of the Propensity Score in Estimating Dose-Response Functions[J]. Biometrika, 2000,87(3):706-710 [53] Hirano K. Imbens G. W. The Propensity Score with Continuous Treatments[C]. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 2004 [54] Fong C., Hazlett C., Imai K. Covariate Balancing Propensity Score for a Continuous Treatment:Application to the Efficacy of Political Advertisements[J]. The Annals of Applied Statistics, 2018,12(1):156-177 [55] Imai K., Ratkovic M. Covariate Balancing Propensity Score[J]. Journal of the Royal Statistical Society:Series B (Statistical Methodology), 2014,76(1):243-263 [56] Abadie A., Imbens G. W. Large Sample Properties of Matching Estimators for Average Treatment Effects[J]. Econometrica, 2006,74(1):235-267 [57] Abadie A., Drukker D., Herr J. L., et al. Implementing Matching Estimators for Average Treatment Effects in Stata[J]. The Stata Journal, 2004,4(3):290-311 [58] Abadie A., Imbens G. W. Bias-Corrected Matching Estimators for Average Treatment Effects[J]. Journal of Business & Economic Statistics, 2016,29(1):1-11 [59] Abadie A., Imbens G. W. Matching on the Estimated Propensity Score[J]. Econometrica, 2016,84(2):781-807 [60] Thistlethwaite D. L., Campbell D. T. Regression-Discontinuity Analysis:An Alternative to the Ex Post Facto Experiment[J]. Journal of Educational Psychology, 1960,51(6):309-317 [61] Athey S., Imbens G. W. The State of Applied Econometrics:Causality and Policy Evaluation[J]. Journal of Economic Perspectives, 2017,31(2):3-32 [62] Imbens G., Klaauw W. V. D. Evaluating the Cost of Conscription in the Netherlands[J]. Journal of Business & Economic Statistics, 1995,13(2):207-215 [63] Imbens G., Kalyanaraman K. Optimal Bandwidth Choice for the Regression Discontinuity Estimator[J]. The Review of Economic Studies, 2011,79(3):933-959 [64] Gelman A. Imbens G. Why High-Order Polynomials should Not Be Used in Regression Discontinuity Designs[J]. Journal of Business & Economic Statistics, 2019,37(3):447-456 [65] Imbens G., Wager S. Optimized Regression Discontinuity Designs[J]. The Review of Economics and Statistics, 2019,101(2):264-278 [66] Angrist J. D., Lavy V. Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement[J]. The Quarterly Journal of Economics, 1999,114(2):533-575 [67] Angrist J. D., Rokkanen M. Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away from the Cutoff[J]. Journal of the American Statistical Association, 2015,110(512):1331-1344 [68] Abdulkadro lu A., Angrist J. D., Narita Y., et al. Regression Discontinuity in Serial Dictatorship:Achievement Effects at Chicago's Exam Schools[J]. American Economic Review, 2017,107(5):240-245 [69] Angrist J. D., Lavy V., Leder-Luis J., et al. Maimonides' Rule Redux[J]. American Economic Review:Insights, 2019,1(3):309-324 [70] Angrist J. D., Pischke J. S. Mostly Harmless Econometrics[M]. New Jersey:Princeton University Press, 2018 [71] Athey S., Imbens G. Recursive Partitioning for Heterogeneous Causal Effects[J]. Proceedings of the National Academy of Sciences, 2016,113(27):7353-7360 [72] Wager S., Athey S. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests[J]. Journal of the American Statistical Association, 2018,113(523):1228-1242 [73] Athey S., Tibshirani J., Wager S. Generalized Random Forests[J]. The Annals of Statistics, 2019,47(2):1148-1178 [74] Athey S., Imbens G. W., Wager S. Approximate Residual Balancing:Debiased Inference of Average Treatment Effects in High Dimensions[J]. Journal of the Royal Statistical Society:Series B (Statistical Methodology), 2018,80(4):597-623 [75] Dimakopoulou M., Zhou Z., Athey S., et al. Balanced Linear Contextual Bandits[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 2019,33(1):3445-3453 [76] Angrist J. D., Caldwell S., Hall J. V. Uber versus Taxi:A Driver's Eye View[J]. American Economic Journal:Applied Economics, 2021,13(3):272-308 [77] Athey S. Beyond Prediction:Using Big Data for Policy Problems[J]. Science, 2017,355(6324):483-485 [78] Athey S., Imbens G. W. Machine Learning Methods That Economists Should Know about[J]. Annual Review of Economics, 2019,11(1):685-725 [79] 洪永淼,汪寿阳. 大数据革命和经济学研究范式与研究方法[J]. 财经智库, 2021,6(1):5-37 [80] Imbens G. W. Potential Outcome and Directed Acyclic Graph Approaches to Causality:Relevance for Empirical Practice in Economics[J]. Journal of Economic Literature, 2020,58(4):1129-1179 [81] King G., Nielsen R. Why Propensity Scores should Not Be Used for Matching[J]. Political Analysis, 2019,27(4):435-454 |